Acceleration of a wave-structure interaction solver by the Parareal method - Archive ouverte HAL
Article Dans Une Revue Engineering Analysis with Boundary Elements Année : 2024

Acceleration of a wave-structure interaction solver by the Parareal method

Résumé

Potential flow theory-based solvers are commonly used in ocean engineering to investigate the interactions between ocean waves and floating bodies. Depending on assumptions, several methods have been proposed. Among them, the Weak-Scatterer method is an interesting trade-off in the sense that this approach is not limited in theory by the small wave amplitudes and small body motions assumptions of linear methods. Moreover, this approach is in practice more stable than the fully non-linear methods. An implementation of the Weak-Scatterer method is the WS-CN code (Letournel, 2015; Chauvigné, 2016; Wuillaume, 2019). The computational time of the WS-CN code which is considered in the present study is relatively long for engineering purposes. In order to reduce it, the present paper presents an implementation of the Parareal method in the WS-CN code. The Parareal method is an algorithm for parallelizing a simulation in time that can accelerate the complete simulation (Lions, 2001) . This is a key difference in comparison to other acceleration techniques which have been studied in the literature (e.g. the Fast Multipole Method (FMM), the precorrected Fast Fourier Transform (pFFT) method, … ). To the authors’ knowledge, the present study is the first to couple the Parareal method to a potential flow theory-based wave-structure interaction solver. It is shown that the method can significantly reduce the computational time for small wave steepness, but that the performance decreases rapidly with increasing steepness.
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Dates et versions

hal-04647112 , version 1 (13-07-2024)

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Yohan Poirier, Julien Salomon, Aurélien Babarit, Pierre Ferrant, Guillaume Ducrozet. Acceleration of a wave-structure interaction solver by the Parareal method. Engineering Analysis with Boundary Elements, 2024, 167, pp.105870. ⟨10.1016/j.enganabound.2024.105870⟩. ⟨hal-04647112⟩
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